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Dynamic relationship between multiple START assessments and violent incidents over time: a prospective cohort study

Overview of attention for article published in BMC Psychiatry, November 2014
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Title
Dynamic relationship between multiple START assessments and violent incidents over time: a prospective cohort study
Published in
BMC Psychiatry, November 2014
DOI 10.1186/s12888-014-0323-7
Pubmed ID
Authors

Richard Whittington, Johan Håkon Bjørngaard, Andrew Brown, Rajan Nathan, Stephen Noblett, Beverley Quinn

Abstract

BackgroundDynamic risk factors need to be assessed repeatedly over time rather than at a single time point to examine the relationship with violence. This predictive validity study sought to examine the degree of dynamic change in risk assessed in a group of mentally disordered offenders and the relationship between change and the occurrence of violence.MethodsRoutine structured assessments of Strengths and Vulnerabilities on the Short-Term Assessment of Risk and Treatability (START) instrument (n¿=¿475) were linked prospectively with 275 violent incidents using logistic regression in a sample of 50 patients.ResultsStability within patients estimated using the intra-class correlation coefficient was high (>.80) for both Strengths and Vulnerabilities. In the overall sample, a 10 point increase in START Vulnerabilities score was associated with a three-fold increased risk of violence (OR¿=¿3.1; 95% CI, 1.47-7.46) but there was no association for Strengths score (OR¿=¿0.91, 95% CI, 0.34-2.47). When examined within patients, both Vulnerabilities (OR¿=¿1.77, 95% CI, 0.56-5.54) and Strengths (OR¿=¿2.26, 95% CI, 0.38-13.42) were associated with an increased risk of violence but in both cases precision was low due to reduced sample sizes.ConclusionsRisk factors which are considered to have the capacity to fluctuate dynamically did not do so substantially in this group of mentally disordered offenders. When fluctuations did occur there was some tentative evidence that they are associated with violent outcomes and could guide the use of prevention measures.

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 14%
Student > Ph. D. Student 4 11%
Researcher 4 11%
Student > Master 4 11%
Student > Bachelor 3 9%
Other 7 20%
Unknown 8 23%
Readers by discipline Count As %
Psychology 11 31%
Medicine and Dentistry 4 11%
Social Sciences 4 11%
Nursing and Health Professions 3 9%
Computer Science 2 6%
Other 1 3%
Unknown 10 29%